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AI & MLAuto-generatedScore: 34

OpenAI API MCP Server

APIs for sampling from and fine-tuning language models

Quick Answer

  1. 1. The OpenAI API MCP server lets Claude, Cursor, and VS Code interact with the OpenAI API API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 10 operations available including Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions). , Transcribes audio into the input language., Translates audio into into English., and more.
  4. 4. Quality score: 34/99fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/openai-com

Spec: v1.2.0

Setup time: ~30 sec (no auth)

Environment Variables

OPENAI_API_API_KEY

Example: your_openai_api_api_key

One-Click Install

Copy the snippet for your MCP client and paste it in — zero editing required.

Claude Desktop

Add to claude_desktop_config.json

{
  "mcpServers": {
    "openai-com": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/openai-com"
      ],
      "env": {
        "OPENAI_API_API_KEY": "your_openai_api_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "openai-com": {
      "url": "https://mcpbridge.org/config/openai-com.json"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "openai-com": {
      "url": "https://mcpbridge.org/config/openai-com.json"
    }
  }
}

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "openai-com": {
      "command": "npx",
      "args": ["-y","@mcp/openai-com"],
      "env": {
      "OPENAI_API_API_KEY": "your_openai_api_api_key"
}
    }
  }
}

What You Can Build

With the OpenAI API MCP server, your AI assistant can:

  • Access 10 API operations through natural language
  • Read, create, and modify ai & ml resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

Endpoints

POST/answers

Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions).

POST/audio/transcriptions

Transcribes audio into the input language.

POST/audio/translations

Translates audio into into English.

POST/chat/completions

Creates a completion for the chat message

POST/classifications

Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases.

POST/completions

Creates a completion for the provided prompt and parameters

POST/edits

Creates a new edit for the provided input, instruction, and parameters.

POST/embeddings

Creates an embedding vector representing the input text.

GET/engines

Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability.

GET/engines/{engine_id}

Retrieves a model instance, providing basic information about it such as the owner and availability.

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: 1.2.0

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

34/99Fair
  • +Auto-generated (+12)
  • +OpenAPI spec available (+8)
  • +10 endpoints (+14)

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